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Researchers present AIR-LLM, an architecture broadcasting LLM weights over radio for edge inference. Testing on LLaMA-3.1-8B shows 4.0% perplexity degradation. The system cuts energy by 157.7 times versus FP16 baselines and reduces airtime by 104.1 times with 20 users.
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